Software Alternatives, Accelerators & Startups

LabPlot VS Core Plot

Compare LabPlot VS Core Plot and see what are their differences

LabPlot logo LabPlot

LabPlot is a KDE-application for interactive graphing and analysis of scientific data.

Core Plot logo Core Plot

Cocoa plotting framework for OS X and iOS
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-05
  • LabPlot
    Image date //
    2024-09-05
  • LabPlot
    Image date //
    2024-09-05

LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone and trusted by professionals.

FEATURE HIGHLIGHTS

  • High-quality data visualization and interactive plotting
  • Data analysis, statistics, nonlinear regression, curve and peak fitting
  • Fast computing with interactive notebooks (for Python, R, Julia, Maxima and more)
  • Data extraction from images (Plot Digitizer)
  • Smooth data import and export to and from multiple formats (CSV, JSON, ODS, XLSX, Origin, SAS, Stata, SPSS, MATLAB, SQL, MQTT, BLF, HDF5, FITS, ROOT (CERN), LTspice, Ngspice and more)
  • Available for Windows, macOS, Linux, FreeBSD, Haiku, GNU

A full list of features: https://labplot.kde.org/features

Video tutorials: https://www.youtube.com/@LabPlot

Communication channels: https://labplot.kde.org/support

Get it here: https://labplot.kde.org/download

  • Core Plot Landing page
    Landing page //
    2023-07-25

LabPlot features and specs

  • Open Source
    LabPlot is free and open source, allowing users to modify and distribute the software without any cost.
  • Integration with KDE
    LabPlot is part of the KDE software collection, offering seamless integration with other KDE applications and a consistent look and feel.
  • Multiplatform Support
    LabPlot is available on various platforms, including Linux, Windows, and macOS, making it accessible to a wide range of users.
  • Extensive Plotting Features
    LabPlot offers a wide range of plotting capabilities, including 2D and 3D plots, which can accommodate diverse scientific and engineering needs.
  • Customizability
    Users can customize plots extensively in LabPlot, adjusting parameters such as plot style, color, and data presentation to suit their specific needs.

Possible disadvantages of LabPlot

  • Steeper Learning Curve
    Due to its comprehensive features, new users might find LabPlot challenging to learn and may require time to become proficient.
  • Limited Community Support
    While there is a community around LabPlot, the size is relatively small compared to more widely used plotting tools, potentially limiting peer support.
  • Performance Issues with Large Datasets
    LabPlot may experience performance slowdowns when handling very large datasets, which can hinder productivity for users working with such data.
  • Less Frequent Updates
    LabPlot may receive updates less frequently than some commercial software, possibly affecting the pace of new feature integration.

Core Plot features and specs

No features have been listed yet.

LabPlot videos

How to fit a curve using LabPlot

More videos:

  • Tutorial - Quick Statistics and Visual Overview of Data in LabPlot
  • Tutorial - How to export publication-quality plots from LabPlot
  • Tutorial - Your First Data Import and Visualization in LabPlot

Core Plot videos

No Core Plot videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to LabPlot and Core Plot)
Technical Computing
85 85%
15% 15
Numerical Computation
86 86%
14% 14
Data Visualization
78 78%
22% 22
Office & Productivity
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare LabPlot and Core Plot

LabPlot Reviews

  1. LabPlot provides extensive capabilities for data import and export, along with tools for analysis, curve fitting, nonlinear regression and interactive visualization, including live data support. Users can export graphs in various formats and utilize a built-in plot digitizer to extract data from existing charts. Additionally, if users are familiar with programming languages such as Python or R, they can leverage these within LabPlot's interactive notebooks.

Core Plot Reviews

We have no reviews of Core Plot yet.
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Social recommendations and mentions

Based on our record, Core Plot seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

LabPlot mentions (0)

We have not tracked any mentions of LabPlot yet. Tracking of LabPlot recommendations started around Mar 2021.

Core Plot mentions (1)

  • How Fast is SciChart’s iOS Chart?
    To carry out performance tests we've built a iOS Chart comparison application in Objective-C. This application performs a number of identical tests on the four chart providers: Core Plot, iOS Charts, Shinobi and SciChart and outputs the results to a CSV file. - Source: dev.to / about 1 year ago

What are some alternatives?

When comparing LabPlot and Core Plot, you can also consider the following products

SciDaVis - SciDAVis is a free application for Scientific Data Analysis and Visualization.

PNChart - PNChart is a chart lib used in Piner and CoinsMan for iOS.

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

SwiftCharts - i-schuetz - Easy to use and highly customizable charts library for iOS

DataMelt - DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.

SwiftChart - Line and area chart library for iOS